Error in cross validation: missing value where TRUE/FALSE needed

[niming2]

Hello,

I used the HMSC-hpc fit the model and then try cross validation:
preds = computePredictedValues (hM =fitSepTF, nParallel = nChains, partition = single_partition)

But I always get an error:
Cross-validation, fold 1 out of 5
setting updater$GammaEta=FALSE due to absence of random effects included to the model
Error in checkForRemoteErrors(val) :
4 nodes produced errors; first error: missing value where TRUE/FALSE needed

Do you have any idea what happens here?

Thanks,
Ming